« Funders and policy makers have strongly recommended the uptake of the FAIR principles in scientific data management. Several initiatives are working on the implementation of the principles and standardized applications to systematically evaluate data FAIRness. This paper presents practical solutions, namely metrics and tools, developed by the FAIRsFAIR project to…
« This article describes some use case studies and self-assessments of FAIR status of de.NBI services to illustrate the challenges and requirements for the definition of the needs of adhering to the FAIR (findable, accessible, interoperable and reusable) data principles in a large distributed bioinformatics infrastructure. We address the challenge of…
« On February 3, 2021, data repository representatives from across the Nordics and Baltics participated in a FAIRification webinar organised by the EOSC-Nordic project. The webinar was the second in a series of multiple steps and focused on the machine-actionable split between Data and Metadata. The idea of concentrating on metadata…
« This paper addresses the issue of interoperability of data generated by historical research and heritage institutions in order to make them re-usable for new research agendas according to the FAIR principles. After introducing the symogih.org project’s ontology, it proposes a description of the essential aspects of…
« (…) This study on legal and regulatory issues related to the application of the FAIR Principles was commissioned by the FAIR Working Group at the European Open Science Cloud (EOSC) Secretariat and delivered by X-officio (…)
The 31 recommendations provided in this study should contribute to the EOSC Interoperability…
« The Recommendations on certifying services required to enable FAIR within EOSC document contains an analysis of activities relevant to certification of the services required to enable FAIR research outputs within EOSC as of November 2020. It discusses incentivisation and support, offers an analysis of gaps and potential opportunities for extension,…
« The Recommendations on FAIR Metrics for EOSC document contains an analysis of activities relevant to the definition of FAIR Metrics in the EOSC context. It makes recommendations on the definition and implementation of metrics, proposes a set of metrics for FAIR data in EOSC to be extensively tested, offers an…
« L’European Open Science Cloud (EOSC) est une initiative de la Commission Européenne qui vise à relier les infrastructures de données scientifiques européennes existantes, à y joindre des solutions cloud à haute capacité et/ou performance pour les exploiter et à élargir la portée de ces services aux utilisateurs…
« Pangloss, archive ouverte dédiée aux langues rares, est un exemple de collection répondant dans sa conception et ses usages aux ambitions de la science ouverte : des données Facile à trouver, Accessibles, Interopérables et Réutilisables (ce que résume l’acronyme anglais FAIR). »
« Huma-Num Science ouverte est un projet soutenu par le Fonds national pour la science ouverte (FNSO) dans le cadre du volet « infrastructure de recherche » de son premier appel à projet.
Le projet d’Huma-Num, intitulé Huma-Num Science ouverte (HNSO), est conçu pour développer une mise à niveau rapide de ses services…
